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stat.ML2023
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matias Quintana, Chun Fu +3
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learni…
stat.ML2020
Indoor environment data time-series reconstruction using autoencoder neural networks
Antonio Liguori, Romana Markovic, Thi Thu Ha Dam +3
As the number of installed meters in buildings increases, there is a growing number of data time-series that could be used to develop data-driven models to support and optimize bui…